KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic

 

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Recent Submissions

  • Coin_flipper at eHealth-KD challenge 2019: voting LSTMs for key phrases and semantic relation identification applied to spanish eHealth texts 

    Catala Roig, Neus; Martín Muñoz, Mario (CEUR-WS.org, 2019)
    Conference report
    Open Access
    This paper describes our approach presented for the eHealthKD 2019 challenge. Our participation was aimed at testing how far we could go using generic tools for Text-Processing but, at the same time, using common optimization ...

  • Detection, counting, and classification of visual ganglia columns of drosophila pupae 

    Arriaga Varela, Enrique Javier; Moya Sánchez, Eduardo Ulises; Aguilar Meléndez, Armando; Castillo Reyes, Octavio; Vázquez Santacruz, Eduardo; Salazar Colores, Sebastián; Cortés García, Claudio Ulises (2019)
    Article
    Open Access
    Many neurobiologists use the fruit fly (Drosophila) as a model to study neuron interaction and neuron organization and then extrapolate this knowledge to the nature of human neurological disorders. Recently, the fluorescence ...

  • DIALCAT: Diabetes as an accelerator of cognitive impairment and Alzheimer's disease, comprehensive approach and adherence to treatment 

    Barrué Subirana, Cristian; Vila Muñoz, Roger; Martínez Velasco, Antonio Benito; Martín Muñoz, Mario; Vázquez Salceda, Javier; Simó Canonge, Rafael; Barroso, Marta; Cortés García, Claudio Ulises (2019-01-01)
    Article
    Open Access
    In this article, we present the designof an mHealth system to support senior citizens with chronic diseases in managing their adherenceto pharmacological treatment. The DIALCAT system consisting of a smart pill dispenser ...

  • “Dust in the wind...”, deep learning application to wind energy time series forecasting 

    Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (2019-06-21)
    Article
    Open Access
    To balance electricity production and demand, it is required to use different prediction techniques extensively. Renewable energy, due to its intermittency, increases the complexity and uncertainty of forecasting, and the ...

  • ¿Aprenden sostenibilidad los alumnos de la FIB? 

    Sánchez Carracedo, Fermín; Sabaté i Garriga, Ferran; Gibert, Karina (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2019)
    Conference report
    Open Access
    En este artículo se presenta un estudio realizado para averiguar si los estudiantes de la FIB aprenden sostenibilidad a lo largo de sus estudios en la universidad. Se usa como herramienta el cuestionario de sostenibilidad ...

  • A text-mining approach to assess the failure condition of wind turbines using maintenance service history 

    Blanco Martínez, Alejandro; Marti Puig, Pere; Gibert, Karina; Cusidó Roura, Jordi; Sole Casals, Jordi (2019-05-23)
    Article
    Open Access
    Detecting and determining which systems or subsystems of a wind turbine have more failures is essential to improve their design, which will reduce the costs of generating wind power. Two of the most critical failures, the ...

  • Deep learning is blowing in the wind. Deep models applied to wind prediction at turbine level 

    Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Institute of Physics (IOP), 2019)
    Conference report
    Open Access
    Wind Energy generation depends on the existence of wind, a meteorological phenomena intermittent by nature, with the consequence of generating uncertainty on the availability of wind energy in the future. The grid stability ...

  • Which method to use? An assessment of data mining methods in Environmental Data Science 

    Gibert, Karina; Izquierdo Sebastián, Joaquín; Sànchez-Marrè, Miquel; Hamilton, Serena H.; Rodriguez Roda, Ignasi; Holmes, Geoffrey (Elsevier, 2018-12)
    Article
    Restricted access - publisher's policy
    Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a huge library of DM algorithms has been developed to tackle a variety of problems in fields such as medical imaging and traffic ...

  • Spatio-temporal gait analysis based on human-smart rollator interaction 

    Cortés Martínez, Atia; Martínez Velasco, Antonio Benito; Béjar Alonso, Javier (2019)
    Article
    Open Access
    The ability to walk is typically related to several biomechanical components that are involved in the gait cycle (or stride), including free mobility of joints, particularly in the legs; coordination of muscle activity in ...

  • Using contextual information in music playlist recommendations 

    Gkatzioura, Anna; Sànchez-Marrè, Miquel (IOSPress, 2017)
    Part of book or chapter of book
    Open Access
    Recommender Systems have become a fundamental part of various applications supporting users when searching for items they could be interested in,at a given moment. However, the majority of Recommender ...

  • Medicamentos y alimentos online: cuestiones éticas en torno al acceso a alimentos y medicamentos a través de Internet 

    Plana Casado, Mª José; López Baroni, Manuel Jesús; Cabré Pericas, Lluís; Lecuona Ramírez, Itziar de; Villalobos Quesada, Mª José; Mariño Hernández, Eduardo; Cortés Martínez, Atia; Cristea Uivaru, Lucía; Biel Canut, Mª Rosa; Portals Casanovas, Miquel; Rey Huerga, Nuria; Navarro Michel, Mónica; Leyton, Fabiola; Casado González, María (2019-01)
    Article
    Open Access
    This article describes the ethical implications that arise when buying food and drugs online. The main goal is to identify relevant bioethical conflicts that derive from using information and communication technologies, ...

  • A study on contextual influences on automatic playlist continuation 

    Gkatzioura, Anna; Sànchez-Marrè, Miquel; Jorge, Alípio Mário (2018)
    Conference lecture
    Open Access
    Recommender systems still mainly base their reasoning on pairwise interactions or information on individual entities, like item attributes or ratings, without properly evaluating the multiple dimensions of the recommendation ...

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